Senior Analyst, Data Science

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About the Role

We are looking for a Senior Analyst Data Science to join our growing data science this role you will lead the development and delivery of quantitative models and analyses across a portfolio of marketing clients including predictive modeling regression analysis and statistical work spanning media pricing and promotional data. This role suits someone with 1-2 years of hands-on analytics experience who is ready to take greater ownership of model design client interaction and mentorship of junior team members.

What You Will Do

• Lead the build and maintenance of data science models such as Marketing Mix Models using regression-based techniques working with weekly or monthly time-series data across media pricing and promotional variables.
• Own data validation cleaning and QA processes for client-provided datasets establishing best practices for model-ready inputs.
• Run and interpret statistical analyses including adstock transformations diminishing returns curves and decomposition outputs flagging issues in methodology or data quality.
• Prepare and review model documentation and structured outputs (Excel workbooks charts summary tables) for internal and client review.
• Partner directly with senior team members and clients on methodology decisions model refinement and results interpretation.
• Mentor and review the work of junior analysts providing feedback on code methodology and QA.
• Drive internal tooling and process improvements as the team scales.

What We Are Looking For

• 1-2 years of professional experience in analytics data science or a related quantitative role.
• Clear confident written and verbal communication skills with experience presenting analytical work to stakeholders or clients.
• Strong foundation in statistical modeling particularly regression analysis and time-series methods.
• Bachelors or Masters degree in Statistics Mathematics Economics Data Science or a related quantitative field.
• Proficiency in Python or R for data manipulation modeling and visualization (pandas statsmodels scikit-learn or equivalent).
• Solid understanding of concepts such as multicollinearity heteroscedasticity model fit diagnostics and variable selection.
• Demonstrated ability to work independently through large messy datasets with strong attention to detail.

Nice to Have

• Exposure to Bayesian methods or hierarchical modeling.
• Prior experience with marketing data (media spend impressions GRPs) or consumer datasets.
• Experience mentoring or reviewing the work of junior analysts.

What We Offer

• Hands-on experience working across multiple industry verticals and client types.
• A collaborative team environment with growth into more senior client-facing responsibilities.
• Exposure to the full MMM lifecycle from data intake through to client delivery with increasing ownership.
• Competitive compensation and benefits.

Why Join Omnicom Media Canada

At Omnicom Media Canada careers are designed for growth. Weve purposefully crafted a transformative talent experience built with accountability in action - focused on community impact and opportunity.

Community - We build a culture where our people show up for each other grow together and win together.

Impact - Your work creates real outcomes for clients for the business and for the industry.

Opportunity - We give you the runway resources and support to keep rising on your terms and at your pace.

Omnicom Media Canada is dedicated to cultivating a workplace that not only respects but actively champions Inclusion Diversity and Equity through Action (IDEA). This commitment ensures our workforce reflects the rich cultural mosaic of Canada shaping how our teams leadership and client relationships thrive.

This is an active vacancy. We are currently hiring for this role and reviewing applications on an ongoing basis.

Expected Salary: $70000 - $80000

Omnicom Media is providing the compensation range that the company is willing to pay for this position based on the successful applicants education experience knowledge skills and abilities.

In addition Omnicom Media provides rewarding offerings such as:

Generous paid time off with a minimum of 37 paid days off including vacation and monthly wellness days. We also have four-day long weekends half-day summer Fridays and meeting-free Friday afternoons year-round.

A flexible hybrid work model that works for you.

A focus on personal development with formal training opportunities including mental health training and inclusion education for everyone.

A chance to be part of and grow within a global network of agencies.

The opportunity to contribute to our company culture by joining one of our many community-based employee groups such as Black Employee Network Girls on Fire Hispanic or Latinx Alliance Neuro Network Pan-Asian Network and Rainbow Lounge.

Omnicom is an equal opportunity employer committed to providing equal employment opportunities to all employees and applicants without regard to race colour ethnicity gender age religion creed national origin sexual orientation gender identity marital status citizenship genetic information disability or any other basis prohibited by applicable federal provincial or municipal law. If you require an accommodation in any aspect of the selection process please reach out to

Salary Range: $70000 - $80000

Omnicoms policy requires employees to work in the office for a minimum of three days a week unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time and many of our agencies as well as Omnicoms corporate group already require five days of in-office attendance.

Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed and were focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join uswe look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.

Link to Recruitment Privacy Notice: Experience:

Senior IC